The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world's largest humanitarian organization, with 190 member National Societies. As part of the International Red Cross and Red Crescent Movement, our work is guided by seven fundamental principles; humanity, impartiality, neutrality, independence, voluntary service, unity and universality.

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[ORGANISATION] International Federation of Red Cross and Red Crescent ...

This data relates to an aerial survey conducted of Mozambique from the 24-29 March 2019 following tropical cyclone Idai.
Data was collected by INGC (National Disaster Management Authority of Mozambique), IFRC, UNDAC, MSF, DFID, Save the Children, and MapAction.
Enumerators flew in squirrel helicopters over priority areas (usually at 500 feet) and some fixed wing aircraft for confirmation on outlying areas.
Data contains location, points of interest, severity and estimated population.
The survey used Kobo for data collection. Processing was conducted in R and then imported into ArcGIS for final map products.
Data is presented in .xlsx (with and without hxl tags) and .geojson formats.

This dataset contains the population profile by age group, sex (male/female) and urban/rural in 2010. This data, derived from the Indonesia Population Census 2010 (Sensus Penduduk) data published by BPS every 10 years. The data is available in MS. Excel (XLS) format: https://sp2010.bps.go.id/index.php/site/tabel?tid=263&wid=0

This data is about the rainy season forecast 2018/2019 for entire Indonesia region. The Indonesia seasonal forecast based on 342 different climate zone (ZOM) produced by the Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG). There are 2 seasonal forecasts produced every year: dry season (March to October forecast) and rainy season (October to March forecast). The data is available in ArcGIS REST Services: http://gis.bmkg.go.id/arcgis/rest/services/prakiraan_musim/Prakiraan_Musim/FeatureServer/2

This dataset contains the historical natural disaster events in Indonesia during 1815-2018. The data list events of any magnitude, including floods, landslides, abrasions, typhoons, droughts, forest fires, earthquakes, volcanic eruptions, tsunamis, and epidemics. The data is available at district level (Admin 2) and downloadable in MS. Excel (XLS) format: http://bnpb.cloud/dibi/tabel1b

This dataset contains the number of casualties (death, injured, refugees) caused by the natural disaster in Indonesia during 1815-2018. The data also include the number of infrastructures damaged (house, health, religion, and education facilities). The data is available at district level (Admin 2) and downloadable in MS. Excel (XLS) format: http://bnpb.cloud/dibi/tabel1a

The data is about the deforestation in Indonesia during 2016-2017. This map show concentrations of forest loss, defined as a change from forest to non-forest state. The deforestation data is available from 2003 to 2017 periods and derived from analysis of Landsat satellite imagery conducted by Ministry of Environment and Forestry (MoEF). The data is available in ArcGIS REST services: http://geoportal.menlhk.go.id/arcgis/rest/services/KLHK/Deforestasi_2016_2017_/MapServer/0.

This dataset contains the gross enrollment ratio (GER) by province (Admin 1), 2011-2017. The GER is a statistical measure in the education sector to determine the number of students enrolled in several different grade level (elementary (SD/MI), middle school (SMP/MTS) and high school (SMA/SMK)) and use it to show the ratio of the number of students who live in that province to those who qualify for the particular grade level. This data, derived from the National Socio-Economic Survey (SUSENAS) data published by BPS every six months (March and September). The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2015/12/22/1050/angka-partisipasi-kasar-apk-menurut-provinsi-2011-2017.html.

This dataset contains the Gender Development Index (GDI) by province (admin 1), 2010-2017. The GDI measures gender gaps in human development achievements by accounting for disparities between women and men in three basic dimensions of human development-health, knowledge and living standards using the same component indicators as in the Human Development Index (HDI). The GDI shows how much women are lagging behind their male counterparts and how much women need to catch up within each dimension of human development. This data, derived from the National Labor Force Survey (SAKERNAS) and Population Census (SP2010) that published by BPS.
The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/08/15/1569/-ipg-indeks-pembangunan-gender-ipg-2010-2017.html

This dataset contains the Gender Empowerment Index (IDG) by province (admin 1), 2010-2017. The IDG is an index designed to measure gender equality. It shows how much women are lagging behind their male counterparts in economic and political aspects. The IDG measured by three aspects: the proportion of parliamentary seats occupied by females, decision-making role in workplace, and labor force participation rate. This data was published by BPS. The data is available in MS. Excel (XLS) format: https://www.bps.go.id/dynamictable/2018/08/15/1573/-idg-indeks-pemberdayaan-gender-idg-menurut-provinsi-2010-2017.html

This dataset contains the number of a rabies cases in human by province (admin 1), 2015-2017. There are 3 different data available: Rabies infectious animal bite cases (GHPR); Rabies cases with the Anti rabies vaccines (VAR) and Positive rabies and death cases based on the LYSSA test (LYSSA). The data was extracted from the Indonesia Health Profile publications (2015-2017) published by the Ministry of Health. The publication is available in PDF format: http://www.pusdatin.kemkes.go.id/folder/view/01/structure-publikasi-pusdatin-profil-kesehatan.html